- A
Using a custom load balancer with weighted backend services
Why wrong: Using a custom load balancer with weighted backend services is not a native Vertex AI feature and adds operational overhead, making it incorrect for minimal overhead.
- B
Model Deployments with traffic splitting
Model Deployments with traffic splitting is a built-in Vertex AI feature that allows gradual traffic shifting between model versions on the same endpoint, making it correct.
- C
Vertex AI Experiments for tracking
Why wrong: Vertex AI Experiments is used for tracking and comparing model training runs, not for serving inference traffic, so it is incorrect.
- D
Cloud Run revisions with traffic migration
Why wrong: Cloud Run revisions with traffic migration is part of a different service and would require additional configuration to integrate with Vertex AI, adding overhead, so it is incorrect.
PMLE Traffic Splitting Practice Question
This PMLE practice question tests your understanding of traffic splitting. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. A key principle to apply: traffic Splitting. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company uses Vertex AI Endpoints for model serving and wants to implement A/B testing between model versions. They need to gradually shift traffic from the old to the new version while monitoring performance. Which Vertex AI feature allows this with minimal operational overhead?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Model Deployments with traffic splitting
Option B is correct because Vertex AI Endpoints natively support deploying multiple model versions to the same endpoint and adjusting traffic splitting percentages gradually, enabling A/B testing with minimal operational overhead. Option A (custom load balancer) adds unnecessary complexity and is not a built-in Vertex AI feature. Option C (Vertex AI Experiments) is designed for managing training runs, not serving traffic. Option D (Cloud Run revisions) is a different service that would require additional integration and does not directly provide the traffic splitting needed for A/B testing of AI models.
Key principle: Traffic Splitting
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Using a custom load balancer with weighted backend services
Why it's wrong here
Using a custom load balancer with weighted backend services is not a native Vertex AI feature and adds operational overhead, making it incorrect for minimal overhead.
- ✓
Model Deployments with traffic splitting
Why this is correct
Model Deployments with traffic splitting is a built-in Vertex AI feature that allows gradual traffic shifting between model versions on the same endpoint, making it correct.
Related concept
Traffic Splitting
- ✗
Vertex AI Experiments for tracking
Why it's wrong here
Vertex AI Experiments is used for tracking and comparing model training runs, not for serving inference traffic, so it is incorrect.
- ✗
Cloud Run revisions with traffic migration
Why it's wrong here
Cloud Run revisions with traffic migration is part of a different service and would require additional configuration to integrate with Vertex AI, adding overhead, so it is incorrect.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates may think they need a custom load balancer (Option A) or Cloud Run (Option D) for traffic splitting, but Vertex AI Endpoints provide this functionality directly with just a few clicks or API calls.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Traffic Splitting
- Vertex AI Endpoint
- A/B Testing
- Model Deployment
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Traffic Splitting
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Traffic Splitting Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Review traffic Splitting, then practise related PMLE questions on the same topic to reinforce the concept.
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FAQ
Questions learners often ask
What does this PMLE question test?
Traffic Splitting
What is the correct answer to this question?
The correct answer is: Model Deployments with traffic splitting — Option B is correct because Vertex AI Endpoints natively support deploying multiple model versions to the same endpoint and adjusting traffic splitting percentages gradually, enabling A/B testing with minimal operational overhead. Option A (custom load balancer) adds unnecessary complexity and is not a built-in Vertex AI feature. Option C (Vertex AI Experiments) is designed for managing training runs, not serving traffic. Option D (Cloud Run revisions) is a different service that would require additional integration and does not directly provide the traffic splitting needed for A/B testing of AI models.
What should I do if I get this PMLE question wrong?
Review traffic Splitting, then practise related PMLE questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Traffic Splitting
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 24, 2026
This PMLE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PMLE exam.
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